technical-docs

Generating Mermaid diagrams from code metadata involves scanning your codebase to automatically produce sequence, ERD, and flowchart diagrams. This skill automates that process by using frontmatter-driven metadata to create visual representations of your architecture.

Docs-as-code treats documentation like source code by running doc-coverage audits and sync checks directly against your implementation. This approach ensures technical writing stays accurate and prevents outdated guides by enforcing style-guide consistency across codebases.

AI-assisted drafting for technical writing can apply style-guide enforcement during the generation process. This skill supports AI-assisted drafting with human review, ensuring your documentation follows style guidelines while maintaining accuracy through automated audits.

Running documentation audits across a codebase requires checking doc-sync against implementation and enforcing style-guide rules. This skill automates lifecycle management by scanning code metadata to identify outdated guides and ensure consistency.

Automating documentation lifecycle management relies on frontmatter-driven metadata to generate diagrams and run audit tooling. This metadata structure allows the system to accurately map code relationships and enforce documentation consistency.